The LLM benchmark aggregator.
kev 0.6B
Other · 0.6B
Strongest in Calibration (#199 of 234), weakest in Decisions (#206 of 234). Above par in 0 of 3 scopes. Among the models it meets almost everywhere, it finishes behind Baselabs mammoth-1 and KnowLine 31B-Gen1 and ahead of Raw Qwen3 4B Instruct direct logits and Open Jev Deberta V3 Large.
§ 1 · Profile
What it is good at
Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.
§ 2 · Head to head
What it beats, and what beats it
The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for kev 0.6B, left for the other.
§ 3 · Sources
Where the numbers come from
1 publication, 2 figures. Every one links to the page it was read from.
Badge
[](https://publicai.io/model-index/m/kev-0-6b)